芴类电致发光材料研究进展

有机电致发光材料是光电信息功能材料领域的研究热点之一。相比于无机电致发光材料,有机电致发光材料具有很多的优势.芴类化合物作为一类具有刚性平面联苯结构的电致发光材料,由于具有宽的能隙、高的发光效率等特点,备受各方面的关注.本文结合作者的工作,从材料合成的角度介绍了国内外在研究该类材料方面所取得的一些最新进展,并对一些有待进一步研究的问题做了展望.     

有机光致变色材料

有机光致变色材料作为一种新型功能材料,已应用在高科技领域和民用领域.本文简单介绍它的光致变色机理、主要的光致变色体系和有机光致变色材料在各种领域的应用.     

有机双光子吸收材料研究进展

有机双光子吸收材料是光电信息功能材料领域的研究热点之一.同无机双光子吸收材料相比,有机双光子吸收材料有更好的可设计性和可裁接性.从分子设计的角度介绍了国内外所取得的一些最新进展,并对有机双光子吸收材料的发展方向作了综述.     

多孔晶体材料的分子工程学研究

功能无机晶体材料的定向设计与合成是化学及材料科学领域中一项重要的前沿课题。本文介绍了近十几年来我们在多孔晶体材料,主要包括分子筛和金属有机骨架晶体材料的分子工程学研究方面所取得的一些进展。其中包括提出了定向设计具有特殊孔道结构和特殊计量比分子筛多孔骨架结构的计算机方法;在国际上率先建立了分子筛多孔晶体材料合成与结构数据...     

树枝状有机电致发光材料*

高度有序、三维结构的树枝状大分子(Dendrimers)作为功能有机材料越来越引起人们的兴趣。与传统的小分子和高分子发光材料相比,树枝状化合物在发光材料方面的应用具有无可比拟的优势。树枝状发光材料的发光特性可以方便地由中心核的调换不同的荧光染料来实现,另外大量的表面功能团和不同的代数可供选择来得到一些有趣的性质,如载流子传输功能、区域隔离效应、溶解性和天线效应等。该类型的发光材料已被认为是第三类电致发光材料。本文简要介绍近期树枝状分子在有机电致发光材料领域中的研究进展,评述树枝状分子在该研究领域所特有的优势,重点介绍了树枝状化合物的设计及其对应的性质,并进一步展望树枝状分子未来在有机电致发光领域的研究前景。     

芴类蓝光生色团在合成有机电致发光材料中的应用

有机电致发光技术在通信、信息、显示和照明等领域显现出巨大的商业应用前景, 十几年来一直是光电信息领域的研究热点之一。相对于无机电致发光材料,有机电致发光材料具有许多优点。芴作为一种具有刚性平面联苯结构的化合物,由于具有宽的能隙、高的发光效率和结构上易于修饰等特点,已成为一类受到各方关注的蓝光生色团。因此,芴类蓝光生色团在合成高效稳定电致蓝光材料、聚芴β相结构的调整、多功能化、主体材料、白光材料、有机激光及有机纳米发光材料等方面得到了广泛的应用。本文从材料合成的角度综述了芴类蓝光生色团在合成有机电致发光材料方面所取得的最新研究进展,讨论了芴类蓝光生色团在上述领域应用过程中所存在的问题和功能拓展方向,并对下一步需要研究的热点问题做了展望。     

三苯基膦氧基团在合成高性能有机电致发光材料中的应用

有机电致发光技术在通讯、信息、显示和照明等领域显现出巨大的商业应用前景, 十几年来一直是光电信息领域的研究热点之一。相对于无机电致发光材料,有机电致发光材料具有许多优点。近年来,三苯基膦氧基团在合成高性能有机电致发光材料方面的研究吸引了大批研究者的关注。由于磷原子自身性质,可以形成5个共价键,所以膦氧基团极易和其他基团连接形成以其为核的衍生物。由于氧原子具有很强的电负性,这就使膦氧结构高度极化并具有强的吸电子性。吸电子的膦氧基团连接苯环形成的三苯基膦氧单元也具有较强的吸电子性,其对所形成的化合物的能级结构也会产生明显影响。本文从材料合成的角度综述了三苯基膦氧基团在合成高性能有机电致发光材料中的应用方面所取得的最新研究进展,重点介绍了三苯基膦氧基团在合成高性能磷光二极管主体材料、电子传输材料和单分子电致发光材料等方面的应用。最后讨论了三苯基膦氧基团在上述领域应用过程中所存在的问题和功能拓展方向,并对下一步需要研究的热点问题作了展望。     

有机液体吸附功能纤维研究进展北大核心CSCD

有机液体吸附功能纤维是一类可吸附自身重量数十倍有机液体的新型纤维材料,具有吸附速率快、吸附量高、易回收及可重复使用等特点,在环境保护、水处理、有机液体分离与回收等领域具有广阔的应用前景,已成为近年来吸附材料研究领域的热点。本文回顾了有机液体吸附功能纤维的发展历史,介绍了所用聚合物种类、单体选用及其制备方法,分析比较了几种有机液体吸附功能纤维的纺丝成形原理,讨论了纺丝过程中各种参数对纤维结构与性能的影响,总结了有机液体吸附功能纤维的再生与应用等方面的研究进展,并对其发展趋势进行了展望。     

金属有机框架-核酸复合材料的构建及其在荧光生物医学传感中的应用

金属有机框架材料(metal-organic frameworks, MOFs)是一类由无机金属节点和有机配体自组装而成的新型多孔材料,因其具有可定制的结构和功能、大的比表面积及多功能化位点等诸多优点,在生物医学、生物传感等领域应用广泛.此外,核酸分子以其特有的分子识别和灵活的可编辑性,近年来在靶标识别、分子检测领域取得了令人瞩目的成就. MOFs与核酸的有机整合能够有效扩展两种单体的功能及应用范围,目前已成为化学及生物医学等领域的研究热点.本文综述了近年来MOFs-核酸复合材料荧光生物传感器的构建及其在生物医学领域中的应用进展.首先介绍了MOFs-核酸复合材料传感器的构建方法;其次,根据MOFs所发挥功能的不同,分别从基于荧光淬灭、发光以及刺激响应三大方面对MOFs-核酸复合材料在荧光生物医学传感中的应用进行了分类概述;最后分析了该研究领域目前面临的挑战,并对其未来发展进行了展望.     

共价有机骨架聚合物(COFs)的应用研究进展

共价有机骨架聚合物(COFs)是一类结晶微孔聚合物,具有优异的孔性质、高的热及化学稳定性和大的比表面积,在气体储存、催化、光电材料等诸多领域中有重要的应用前景,已成为国内外的研究热点。本文主要综述了共价有机骨架聚合物对氢气、甲烷、二氧化碳等气体的吸附与储存,并介绍了共价有机骨架聚合物近几年在非均相催化、光电材料、重金属离子吸附、光催化制氢等方面的应用所取得的重要进展。文章最后总结了当前共价有机骨架聚合物遇到的一些问题,并对该领域未来发展趋势进行了展望。     

Mechanisms of double ionization in strong laser field from simulation with Coupled Coherent States: Beyond reduced dimensionality models

The recently developed Coupled Coherent States method for solution of the time-dependent Schrödinger equation is used to simulate the strong laser field double ionization of a helium atom in six spatial dimensions. The calculated double ionization yield, as a function of laser intensity, reproduces the “shoulder”, attributable to electron recollisions. The method, which employs a Coherent State representation guided by classical trajectories also provides physical insight into the ionization mechanism. The appearance of the ‘shoulder’, is seen by analysis of the guiding trajectories to arise predominantly from sequential excitation of one electron into a highly excited orbit, followed by an electron–electron collision leading to correlated escape of the two electrons. A second little known mechanism involves recollisions resulting in ionization of the secondary electron, leaving the first in a highly excited state, from which it is later ionized by the laser field.     

利用基于直接动力学的轨线面跳跃方法处理非绝热过程

势能面交叉引起的非绝热过程广泛存在于光化学和光物理中。对这一过程进行描述是理论化学的重要挑战之一。非绝热过程涉及原子核与电子之间的耦合运动,因此量子化学的基本假设之一"玻恩-奥本海默"近似被打破,所以对其进行描述需要发展新的动力学理论方法。在这些方法中,Tully发展的最少轨线面跳跃方法凭借易于程序化、便于计算等优点已经发展成为处理非绝热问题的主要动力学方法之一。其中原子核以经典的方式在单一势能面上进行演化,电子以量子的方式沿着同一轨线进行演化。在整个演化过程中,非绝热跃迁通过轨线在不同势能面间的跃迁来描述,其中跳跃发生的几率与电子的演化有关。如果将该方法与从头算直接动力学相结合,可以在全原子水平上研究实际分子体系的非绝热动力学,给出其激发态寿命、非绝热动力学中分子的主要运动方式、反应通道以及分支比等重要信息。本文旨在讨论最少面跳跃直接动力学方法研究非绝热问题的一些进展,包括动力学基本理论,特别关注将最少面跳跃方法和直接动力学结合的数值实现细节,同时讨论该方法在研究实际体系当中的一些应用,并对轨线面跳跃方法下一步发展的一些方向进行合理的展望。     

多原子体系非绝热动力学的近似理论方法

非绝热动力学普遍存在于光物理和光化学过程中。描述非绝热跃迁需要处理电子-原子核间的相互耦合运动。由于计算量随体系尺度增大剧烈增长,准确的量子动力学计算目前只适用于描述小分子体系。为了研究多原子分子体系的非绝热过程,近年来发展了一些基于量子-经典动力学近似方法。本文将对典型的这类方法包括经典Ehrenfest方法、面跳跃方法、基于Wigner表示的混合量子-经典方法进行简要的介绍,并讨论如何将量子-经典动力学方法与电子结构从头算手段相结合,模拟非绝热过程。重点阐明各种方法的基本思想和优缺点,并对该领域的发展进行展望。     

Choline Chloride as a Nano-Crowder Protects HP-36 from Urea-Induced Denaturation: Insights from Solvent Dynamics and Protein-Solvent Interactions

Urea at sufficiently high concentration unfolds the secondary structure of proteins leading to denaturation. In contrast, choline chloride (ChCl) and urea, in 1 : 2 molar ratio, form a deep eutectic mixture, a liquid at room temperature, protecting proteins from denaturation. In order to get a microscopic picture of this phenomenon, we perform extensive all-atom molecular dynamics simulations on a model protein, HP-36. Based on our calculation of Kirkwood-Buff integrals, we analyze the relative accumulation of urea and ChCl around the protein. Additional insights are drawn from the translational and rotational dynamics of solvent molecules and hydrogen bond auto-correlation functions. In the presence of urea, water shows slow subdiffusive dynamics around the protein owing to a strong interaction of water with the backbone atoms. Urea also shows subdiffusive motion. The addition of ChCl further slows down the dynamics of urea, restricting its accumulation around the protein backbone. Adding to this, choline cations in the first solvation shell of the protein show the strongest subdiffusive behavior. In other words, ChCl acts as a nano-crowder by excluding urea from the protein backbone and thereby slowing down the dynamics of water around the protein. This prevents the protein from denaturation and makes it structurally rigid, which is supported by the smaller radius of gyration and root mean square deviation values of HP-36.     

Ultrafast Electron Transfer with Symmetrical Quasi-classical Dynamics based on Mapping Hamiltonian and Quantum Dynamics based on ML-MCTDH

Symmetrical quasi-classical (SQC) method based on mapping Hamiltonian is an efficient approach that is potentially useful to treat the nonadiabatic dynamics of very large systems. We try to evaluate the performance of this method in the ultrafast electron transfer processes involving a few of electronic states and a large number of vibrational modes. The multilayer multiconfigurational time-dependent Hartree (ML-MCTDH) method was used to get the accurate dynamical results for benchmark. Although the population dynamics in the longtime limit show differences in the ML-MCTDH and SQC calculations, the SQC method gives acceptable results.     

Computer simulation studies of the miscibility of poly(3-hydroxybutyrate)-based blends

By means of the molecular dynamics simulation method, the miscibility of poly(3-hydroxybutyrate)/polyethylene (PHB/PE) blend has been investigated. Two glass transition temperatures of the PHB/PE are found by scrutinizing its volume-temperature curve, and this result is qualitatively in agreement with the experimental results. To further analyze the miscibility of poly(3-hydroxybutyrate)-based blends, the Flory-Huggins parameters of PHB/PE, poly(3-hydroxybutyrate)/poly(ethylene oxide) (PHB/PEO), poly(ethylene oxide)/polyethylene (PEO/PE) have been calculated via a Monte Carlo scheme, and the morphology of the PHB/PEO and the PHB/PE blend has been simulated using dissipative particle dynamics method. The time evolution of dividing interface for PHB/PEO/PE blend shows a dynamic phase separation process. All these results indicate that PHB and PEO tend to mix together, whereas PE aggregates to form PE-rich domains in the PHB/PE and PHB/PEO/PE blends.     

Effect of Size and Temperature on Water Dynamics inside Carbon Nano-Tubes Studied by Molecular Dynamics Simulation

Water transport inside carbon nano-tubes (CNTs) has attracted considerable attention due to its nano-fluidic properties, its importance in nonporous systems, and the wide range of applications in membrane desalination and biological medicine. Recent studies show an enhancement of water diffusion inside nano-channels depending on the size of the nano-confinement. However, the underlying mechanism of this enhancement is not well understood yet. In this study, we performed Molecular Dynamics (MD) simulations to study water flow inside CNT systems. The length of CNTs considered in this study is 20 nm, but their diameters vary from 1 to 10 nm. The simulations are conducted at temperatures ranging from 260 K to 320 K. We observe that water molecules are arranged into coaxial water tubular sheets. The number of these tubular sheets depends on the CNT size. Further analysis reveals that the diffusion of water molecules along the CNT axis deviates from the Arrhenius temperature dependence. The non-Arrhenius relationship results from a fragile liquid-like water component persisting at low temperatures with fragility higher than that of the bulk water.     

LINCS: A linear constraint solver for molecular simulations

In this article, we present a new LINear Constraint Solver (LINCS) for molecular simulations with bond constraints. The algorithm is inherently stable, as the constraints themselves are reset instead of derivatives of the constraints, thereby eliminating drift. Although the derivation of the algorithm is presented in terms of matrices, no matrix matrix multiplications are needed and only the nonzero matrix elements have to be stored, making the method useful for very large molecules. At the same accuracy, the LINCS algorithm is three to four times faster than the SHAKE algorithm. Parallelization of the algorithm is straightforward. © 1997 John Wiley & Sons, Inc. J Comput Chem 18 : 1463–1472, 1997